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Resumen

In this thesis we are exploring the prediction of next day Bitcoin (BTC)
price through the usage of Recurrent Neural Networks (RNN) . Our
aim is, by using state-of-the-art techniques, to predict the price of
BTC with higher accuracy than the previous works in the literature.
This thesis uses up to 27 time series, spanning from 03/01/2009 to
28/04/2016, with a granularity of 1 data point per day.